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Sentiment of Emojis

There is a new generation of emoticons, called emojis, that is increasingly being used in mobile communications and social media. In the past two years, over ten billion emojis were used on Twitter. Emojis are Unicode graphic symbols, used as a shorthand to express concepts and ideas. In contrast to...

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Autores principales: Kralj Novak, Petra, Smailović, Jasmina, Sluban, Borut, Mozetič, Igor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4671607/
https://www.ncbi.nlm.nih.gov/pubmed/26641093
http://dx.doi.org/10.1371/journal.pone.0144296
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author Kralj Novak, Petra
Smailović, Jasmina
Sluban, Borut
Mozetič, Igor
author_facet Kralj Novak, Petra
Smailović, Jasmina
Sluban, Borut
Mozetič, Igor
author_sort Kralj Novak, Petra
collection PubMed
description There is a new generation of emoticons, called emojis, that is increasingly being used in mobile communications and social media. In the past two years, over ten billion emojis were used on Twitter. Emojis are Unicode graphic symbols, used as a shorthand to express concepts and ideas. In contrast to the small number of well-known emoticons that carry clear emotional contents, there are hundreds of emojis. But what are their emotional contents? We provide the first emoji sentiment lexicon, called the Emoji Sentiment Ranking, and draw a sentiment map of the 751 most frequently used emojis. The sentiment of the emojis is computed from the sentiment of the tweets in which they occur. We engaged 83 human annotators to label over 1.6 million tweets in 13 European languages by the sentiment polarity (negative, neutral, or positive). About 4% of the annotated tweets contain emojis. The sentiment analysis of the emojis allows us to draw several interesting conclusions. It turns out that most of the emojis are positive, especially the most popular ones. The sentiment distribution of the tweets with and without emojis is significantly different. The inter-annotator agreement on the tweets with emojis is higher. Emojis tend to occur at the end of the tweets, and their sentiment polarity increases with the distance. We observe no significant differences in the emoji rankings between the 13 languages and the Emoji Sentiment Ranking. Consequently, we propose our Emoji Sentiment Ranking as a European language-independent resource for automated sentiment analysis. Finally, the paper provides a formalization of sentiment and a novel visualization in the form of a sentiment bar.
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spelling pubmed-46716072015-12-10 Sentiment of Emojis Kralj Novak, Petra Smailović, Jasmina Sluban, Borut Mozetič, Igor PLoS One Research Article There is a new generation of emoticons, called emojis, that is increasingly being used in mobile communications and social media. In the past two years, over ten billion emojis were used on Twitter. Emojis are Unicode graphic symbols, used as a shorthand to express concepts and ideas. In contrast to the small number of well-known emoticons that carry clear emotional contents, there are hundreds of emojis. But what are their emotional contents? We provide the first emoji sentiment lexicon, called the Emoji Sentiment Ranking, and draw a sentiment map of the 751 most frequently used emojis. The sentiment of the emojis is computed from the sentiment of the tweets in which they occur. We engaged 83 human annotators to label over 1.6 million tweets in 13 European languages by the sentiment polarity (negative, neutral, or positive). About 4% of the annotated tweets contain emojis. The sentiment analysis of the emojis allows us to draw several interesting conclusions. It turns out that most of the emojis are positive, especially the most popular ones. The sentiment distribution of the tweets with and without emojis is significantly different. The inter-annotator agreement on the tweets with emojis is higher. Emojis tend to occur at the end of the tweets, and their sentiment polarity increases with the distance. We observe no significant differences in the emoji rankings between the 13 languages and the Emoji Sentiment Ranking. Consequently, we propose our Emoji Sentiment Ranking as a European language-independent resource for automated sentiment analysis. Finally, the paper provides a formalization of sentiment and a novel visualization in the form of a sentiment bar. Public Library of Science 2015-12-07 /pmc/articles/PMC4671607/ /pubmed/26641093 http://dx.doi.org/10.1371/journal.pone.0144296 Text en © 2015 Kralj Novak et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Kralj Novak, Petra
Smailović, Jasmina
Sluban, Borut
Mozetič, Igor
Sentiment of Emojis
title Sentiment of Emojis
title_full Sentiment of Emojis
title_fullStr Sentiment of Emojis
title_full_unstemmed Sentiment of Emojis
title_short Sentiment of Emojis
title_sort sentiment of emojis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4671607/
https://www.ncbi.nlm.nih.gov/pubmed/26641093
http://dx.doi.org/10.1371/journal.pone.0144296
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